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Prognostics and System Health Management Conference (PHM-Qingdao)

作者： Li Yuan Tan Wen Yan Su Zichao Yi Yu Wang State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China Nanjing University of Aeronautics and Astronautics College of Civil Aviation Nanjing China

This paper overcomes the shortcomings of the traditional Risk assessment method of Risk Priority Number (RPN). The evaluation process is established by combining the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) with the cloud model theory. And applied to solve the DC charger failure mode risk assessment, analysis and determination of DC charger key failure mode and failure mechanism. Firstly, the expert assessment information of DC charger fault mode was converted into a cloud model, and then the risk assessment index and expert weight of risk assessment were calculated. Finally, the TOPSIS method was used to determine the risk priority of the fault mode, and the failure mechanism of the high-priority fault mode was analyzed to determine the failure physical model.

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An Feature Data Extraction Method Based on BPCA-SPCA

An Feature Data Extraction Method Based on BPCA-SPCA

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International Conference on Sensing, Diagnostics, Prognostics, and control (SDPC)

作者： Xiangyu Xing Bingrong Yan Yan Su Lingyun Tang College of Civil Aviation Nanjing University of Aeronautics and Astronautics Nanjing China Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9798350388855

ISBN: (纸本)9798350388862

With the increasing integration of systems and the rapid development of sensor monitoring technology, the types of monitoring data are more diverse and the number of samples are larger in flight test and operation than before. Due to the large volume and high complexity of monitoring data, the system fault diagnosis and prediction based on monitoring data is inefficient. In order to solve the problem of monitoring data redundancy, a feature extraction algorithm based on BPCA-SPCA is proposed. A system with high failure rate is selected as an example to extract the features of the system monitoring data and realize the verification of data sparseness. The experimental results show that based on BPCA-SPCA the principal components extracted monitoring data can effectively express the features of the original data, and the feature sparse vector can provide effective input information for subsequent fault diagnosis and indirectly improve the efficiency of fault diagnosis.

关键词： Fault diagnosis Redundancy Feature extraction Prediction algorithms Vectors Inference algorithms Sensors Complexity theory Data mining Monitoring

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Comparison of Adaptive Virtual Impedance Coefficient to Suppress Power Oscillation in Multi-VSG grids

Comparison of Adaptive Virtual Impedance Coefficient to Supp...

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IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

作者： Jie Ji Xingshuo Li Shuye Ding Yizhi Chen School of Electrical and Automation Engineering Nanjing Normal University Nanjing China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China

ISBN: (数字)9798350386127

ISBN: (纸本)9798350386134

The virtual synchronous generator(VSG) technology offers inertia support but also introduces active power oscillation, which are more serious when in multi-VSG. The previous studies proposed adaptive virtual impedance aimed at suppressing power oscillation in multi-VSG system. However, further research is still needed to thoroughly examine the adaptive virtual impedance coefficient. In this article, how the power oscillation of multi-VSG to be influenced by adaptive virtual impedance coefficient is investigated. Firstly, an analysis is conducted on the active power oscillation mechanism. Subsequently, the variation law of adaptive virtual impedance coefficient affecting active power oscillation is studied. Finally, The effects of different adaptive virtual impedance coefficient values is compared in simulations and experiment.

关键词： Adaptation models Adaptive systems Impedance Frequency synchronization Oscillators Frequency control

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A Quick Generation Method for Power grid Graphs and Models in SCADA System

A Quick Generation Method for Power Grid Graphs and Models i...

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2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)

作者： Rongrong Cao NARI Technology Development Co. Ltd State Key Laboratory of Smart Grid Protection and Control

In the large power grid dispatching and control system, the unmanned substations bring a large amount of graph drawing and model input work to the automation maintenance personnel. The complicated work increases the error probability and hidden dangers, and it is difficult to adapt to the development of the large power grid. Therefore, it is very necessary to realize the quick generation method of power grid graphs and models in the large power grid dispatching and control system. This paper proposes a method for quick generation of graphs and models in SCADA system. This method is based on the design concept of object-oriented graph and model integration and realizes the quick generation of similar substations. This design has been used in real application widely and makes the maintenance of the automation system more conveniently, rapidly and accurately.

关键词： quick generation graph drawing model input graph and model integration

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Research on the grabcut image segmentation method based on superpixel

Research on the grabcut image segmentation method based on s...

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International Conference on Intelligent System and Knowledge Engineering, ISKE

作者： Yang Liu Ningning Zhou Guofang Huang School of Computer Nanjing University of Posts and Telecommunications Nanjing China Nanjing University of Posts and Telecommunications Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China

In order to overcome the Excessive time complexity of bad quality when the disposing the picture whose foreground is similar to background of grabcut method, a grabcut method based on superpixel is proposed in this paper. This method, firstly, extracting the superpixel block of the picture. And then, split the picture which is extracted. The experimental results show that this method is effective to improve the speed of segmentation. What's more, this method can solve the problem of bad quality when the disposing the image whose foreground is similar to background in a certain extent. This paper has certain advantage in disposing those image whose size are too big and foreground is similar to background.

关键词： Image segmentation Image color analysis Algorithm design and analysis Clustering algorithms Feature extraction Partitioning algorithms Time complexity

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Frequency Characteristic of New-type Load Considering Power Electronics Technology

Frequency Characteristic of New-type Load Considering Power ...

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IEEE International Conference on Cyber Technology in Automation, control, and Intelligent Systems

作者： Qian Chen Meng Jiang Ping Ju Xin Shan Bo Wang Yi Wang Fangzhao Yu Lin Xu Chuan Qin College of Energy and Electrical Engineering Hohai University Nanjing China NARI Group Corporation State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9781538604915

Power electronics based load equipment has now more and more used in power grid these years. Their frequency characteristic is worthy of study in detail for it is very different from that of traditional load equipment, and the regular load model may not be suitable such as in the security and stability analysis of modern power system. Firstly, so much these new-type load equipment are classified in several typical categories. Then, response curves are obtained from physical experiment. Thereafter, the static frequency characteristic of new-type loads is discussed and the trend of parameters is predicted. Finally, compared with the recording curves of a real bulk power grid during large frequency disturbs, the change of parameter is verified and the potential impact on power grid is analyzed.

关键词： Power grids Reactive power Motor drives Power system stability Switches Power supplies Load modeling

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Analysis of Tie-line Power Optimization in Integrated Energy Distribution System

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Energy Procedia 2019年 158卷 6484-6489页

作者： Liu Liu Dan Wang Hongjie Jia Weiliang Wang Zhengji Meng Yunqiang Zhi Shenxi Zhang Wei Du Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China Applied Energy UNiLAB: DEM (Distributed Energy and Microgrid) Tianjin China Key Laboratory of Control of Power Transmission and Transformation of Ministry of Education Shanghai Jiao Tong University Shanghai China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China

Recently, the concept of integrated energy distribution system (IEDS) has gained popularity both in academia and industry, it is characterized by the comprehensive integration of multi-energy carriers and flexible utilization of available resources including distribution generations (DGs). However, the stability problem caused by the intermittency of renewable energy and uncertainties of energy demands are among the main concerns that need to be regulated properly. To address this issue, a novel method of tie-line power optimization is proposed in this paper, where the synergies among various energy sectors are stressed. The model of regional energy station (RES) is studied to provide the model basis, which can be regarded as the coupling link of electric power system (EPS) and natural gas system (NGS). In this regard, the flexibility of energy conversion and dispatch can be utilized as a kind of controllable resources for the sake of tie-line power optimization. Therefore, the tie-line power can be regulated in a flexible way in response to the control signal from the dispatch center. Verified by numerical studies, the results show the efficiency and applicability of the proposed strategy.

关键词： integrated energy distribution system (IEDS) regional energy station (RES) multi-energy flow tie-line power regulation

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Power system cyber attack and its defense

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Dianli Xitong Zidonghua/Automation of Electric Power Systems 2016年第5期40卷 148-151页

作者： Ni, Ming Yan, Jie Bo, Rui Tang, Yi NARI Technology Co. Ltd. Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China Midcontinent Independent System Operator Minneapolis United States School of Electrical Engineering Southeast University Nanjing China

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Developing Characteristics of Oil-immersed Transformer Internal Fault with Dignostic Method Using Convergence Patterns of Free Gas

Developing Characteristics of Oil-immersed Transformer Inter...

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Electrical Engineering (CIYCEE), IEEE China International Youth Conference on

作者： Yucheng Zhang Zhiguo Hao Yuping Zheng Shuyan Pan Boyu Li Zhongxin Xue Jinzhao Deng School of Electrical Engineering Xi’an Jiaotong University Xi’an China State Key Laboratory of Smart Grid Protection and Operation Control Nanjing China

ISBN: (纸本)9781665400657

Light gas protection only operates when gas within the transformer collection chamber reaches threshold volume. Such criterion failed to reflect transformer conditions accurately due to the lack of understanding for defect developing process and corresponding gas generation- convergence pattern, which has led to lower protection reliability and has caused several transformer explosions. To address current problem, an experimental tank with structure resembling that of a power transformer is set up, inside which the needle-plate oil-pressboard breakdown model is planted. Experimental results indicate that throughout fault development, voltage drops became more frequent until arcing occurs, so is HFCT signal; meanwhile gas generation rate increases through slight partial discharge, spark discharge and arcing stage, the collected gas volume corresponds with patterns above. The purpose of this study is to clarify the defect developing process and the gas generation-convergence pattern for oil-immersed transformer internal fault in guidance for a more reliable protection method.

关键词： Surface discharges Windings Oil insulation Discharges (electric) Reliability Sparks Plastics

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Assessment of Static Voltage Stability Margin for Power Systems with Causal Decomposition and Reverse Feature-Enhanced Temporal Convolutional Networks

Assessment of Static Voltage Stability Margin for Power Syst...

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IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

作者： Haifeng Zhou Xianyu Zha Qi Pan Naishuang Li Jiabin Zhang Jiacheng Liu State Key Laboratory of Smart Grid Protection and Operation Control NARI Group Corporation (China Electric Power Research Institute) Nanjing China

ISBN: (数字)9798350386127

ISBN: (纸本)9798350386134

Rapid and accurate static voltage stability assessment is crucial for the safe operation of large-scale interconnected power grids. Existing methods have failed to effectively filter key input variables in massive measurement data, limiting assessment accuracy. This study proposes an assessment method based on causal decomposition and reverse feature-enhanced temporal convolution networks. Initially, using bottom-layer measurement data as input, key variables are selected through causal decomposition, reducing the original feature set and enhancing computational efficiency. Subsequently, a reverse feature-enhanced temporal convolution model is constructed to fully mine data characteristics and achieve high precision assessment. Validation in an improved four-machine two-area simulation system demonstrates that this method significantly enhances estimation accuracy and algorithm performance while reducing the dimensionality of original variables.

关键词： Adaptation models Accuracy Correlation Convolution Power system stability Predictive models Feature extraction Stability analysis Data models Convolutional neural networks

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